SEO Content Writer - Sec 63 Noida

AI & ML (45 Days – Live Hands‑On)

Program Fee: ₹25,000

Duration: 45 Days

Mode: Hybrid (Online Sessions + Live Lab Access)

Eligibility: Freshers, Final‑Year Students, and Career Switchers

About the Internship

This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.

Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:

• Cloud/Infra Engineer
• DevOps Engineer
• Security Analyst
• AI/ML Engineer
• Site Reliability Engineer (SRE)

Key Highlights

• 45 days of practical, mentor-led training
• Live production-style projects and deployments
• Hands‑on experience with:
• AWS / Azure Cloud
• Terraform, CI/CD, Docker, Kubernetes
• Security Hardening & IAM
• Python ML pipelines & model deployment
• Architect & deploy real systems using best practices
• Build portfolio-ready projects
• Receive an industry-recognized Internship Certificate

What You Will Learn

1️⃣ Cloud Infrastructure & DevOps

• Cloud fundamentals (AWS/Azure/GCP)
• Linux administration & scripting
• VPC, Subnets, Routing, NAT, Firewalls
• EC2 provisioning & autoscaling
• Load balancing & High Availability
• Terraform for Infrastructure as Code
• CI/CD pipelines using Jenkins / GitHub Actions
• Docker containerization & Kubernetes basics

2️⃣ Cybersecurity & Cloud Security

• IAM roles, policies, access control
• Server security & hardening
• SSL/TLS, encryption, key management
• Secure VPC & subnet design
• Threat detection & logging
• Secrets management
• Network segmentation & firewall best practices

3️⃣ AI & Machine Learning

• Python for ML
• Supervised and unsupervised algorithms
• Data preprocessing & model training
• Model evaluation & optimization
• Build ML inference APIs using FastAPI/Flask
• Containerize and deploy ML models to cloud
• Integrate monitoring for ML workflows

✅ Live Hands‑On Projects

Interns will work on real-world, production-grade projects such as:

• Deploy a secure 3‑tier web application on cloud
• Automate infra provisioning using Terraform
• Build CI/CD pipelines for automated deployments
• Harden servers & configure security groups, IAM
• Develop and deploy an ML model as a cloud API
• Create monitoring dashboards with Prometheus/Grafana
• End-to-end system deployment with logging and alerting

Each intern will complete a Capstone Project and present it during the final evaluation.

✅ Internship Deliverables

1. Internship Completion Certificate
2. 3+ Production‑level projects
3. GitHub portfolio with all code and deployments
4. Cloud & ML documentation
5. Resume enhancement and guidance
6. Career mentoring + interview preparation

✅ Who Should Apply

This internship is ideal for:

• Fresh graduates
• Final‑year engineering or IT students
• BSc, BCA, MCA, B.Tech learners
• Professionals switching careers to Cloud/DevOps/AI
• Anyone seeking hands‑on, real‑time industry experience

✅ Program Fee

₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)

✅ Certificate Provided

All participants will receive a verified Internship Certificate, including:

• Candidate Name
• Internship Duration & Dates
• Skills Covered
• Project Evaluation Score
• Authorized Signatory & Company Seal

Key Responsibilities

• Data Architecture & Pipeline Development
• Design, implement, and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
• Integrate structured, semi-structured, and unstructured data from multiple sources.
• Data Storage & Management
• Develop and maintain Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake solutions.
• Ensure proper indexing, partitioning, and storage optimization for performance.
• Data Governance & Security
• Implement role-based access control, data encryption, and compliance with GDPR/CCPA.
• Ensure metadata management and data lineage tracking with Azure Purview or similar tools.
• Collaboration & Stakeholder Engagement
• Work closely with BI developers, analysts, and business teams to translate requirements into data solutions.
• Provide technical guidance and best practices for data integration and transformation.
• Monitoring & Optimization
• Set up monitoring and alerting for data pipelines.
• 
  

Role Overview

Home Aura Realtor is looking for a driven Sales Executive with experience in premium and luxury residential projects. The role requires someone who can confidently handle high-value clients, conduct site visits, and close deals.

This role offers excellent incentive potential for performers.

Key Responsibilities

• Handle premium and luxury residential project sales
• Generate and manage qualified leads
• Conduct client meetings and site visits
• Build relationships with serious buyers and investors
• Explain project features, pricing, and investment value
• Follow up with prospects and convert enquiries into bookings
• Coordinate with internal teams to ensure smooth booking process
• Achieve monthly sales targets

Requirements

• Minimum 1+ year experience in real estate sales
• Experience handling premium / luxury projects preferred
• Strong communication and negotiation skills
• Ability to convert leads and close deals
• Professional attitude and client-handling ability

What We Offer

• Attractive incentive structure
• Opportunity to work with premium real estate projects
• Supportive sales environment

• Experience: 4.5 to 10 Years.
• Notice Period: Immediate to 15 days.
• Location: Bangalore.
• Budget:
• 4.5 to 6 Years: 14 LPA.
• 6.5 to 9 Years: 18 LPA.

Skills/Qualifications Required:

• Strong knowledge of Android Architecture with experience in Java and C/C++.
• Working experience in Android Generic Frameworks.
• Hands-on experience with GIT/Gerrit and resolving conflicts while applying AOSP patches.
• Proficiency in analyzing ANRs, tombstones, and system crashes.
• Experience with analyzing Google compliance issues (STS, CTS, GTS, VTS).
• Hands-on experience with JIRA.
• Expertise in Binder IPC, Manager Service, System Services, AOSP customization, and custom ROM development.

Person needs to have good MS office (word) skills, with mimumum qualification as a graduate.

Work involves onsite and offsite work.

Location at delhi (IIT delhi campus , delhi cantt and gurgaon)

Only freshers are needed.

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

Role Introduction

• This role involves guiding the DevOps team towards successful delivery of Governance and

toolchain initiatives by removing manual tasks.

• Operate toolchain applications to empower engineering teams by providing, reliable, governed

self-service tools and supporting their adoption

• Driving good practice for consumption and utilisation of the engineering toolchain, with a focus

on DevOps practices

• Drive good governance for cloud service consumption

• Involves working in a collaborative environment and focus on leading team and providing

technical leadership to team members.

• Involves setting up process and improvements for teams on supporting various DevOps tooling

and governing the tooling.

• Co-ordinating with multiple teams within organization

• Lead on handovers from architecture teams to support major project rollouts which require the

Toolchain governance DevOps team to operationally support tooling

What you will do

• Identify and implement best practices, process improvement and automation initiatives for

improvement towards quicker delivery by removing manual tasks

• Ensure best practices and process are documented for reusability and keeping up-to date on

good practices and standards.

• Re-usable automation and compliance service, tools and processes

• Support and management of toolchain, toolchain changes and selection

• Identify and implement risk mitigation plans, avoid escalations, resolve blockers for teams.

Toolchain governance will involve operating and responding to alerts, enforcing good tooling

governance by driving automation, remediating technical debt and ensuring the latest tools

are utilised and on the latest versions

• Triage product pipelines, performance issues, SLA/SLO breaches, service unavailable along

with ancillary actions such as providing access to logs, tools, environments.

• Involve in initial / detailed estimates during roadmap planning or feature

estimation/planning of any automation identified for a given toolset.

• Develop, refine, and tune integrations between various tools

• Discuss with Product Owner/team on any challenges from implementation, deployment

perspective and assist in arriving probable solution and escalate any risks to get them

resolved w.r.t DevOps toolchain.

• In consultation with Head of DevOps and other stake holders, prioritization of items, item-

task breakdown; accountable for squad deliverables for sprint

• Involve in reviewing current components and plan for upgrade and ensure its communicated

to wider audience within Organization

• Involve in reviewing access / role and enhance and automate provisioning.

• Identify and encourage areas for growth and improvement within the team e.g conducts

regular 1-2-1’s with squad members to provide support, mentoring and goal setting

• Involve in performance management ,rewards and recognition of team members, Involve in

hiring process.• Plan for upskill of team to know about tools and perform tasks. Ensure quicker onboarding

of new joiners/freshers to team to be productive.

• Review ticket metrics to measure the health of the project including SLAs and plan for

improvement.

• Requirement for on call for critical incidents that happen Out of Hours, based on tooling SLA.

This may include planning standby schedule for squad, carrying out retrospective for every

callout and reviewing SLIs/SLOs.

• Owns the tech/repair debt, risk and compliance for the tooling with respect to

infrastructure, pipelines, access etc

• Track optimum utilization of resources and monitor/track the delivery schedule

• Review solutions designs with the Architects / Principal DevOps Engineers as required

• Provide monthly reporting which align to DevOps Tooling KPIs

What you will have

• Candidate should have 8+ years of experience and Hands-on DevOps experience and

experience in team management.

• Strong communication and interpersonal skills, Team player

• Good working experience of CI/CD tools like Jenkins, SonarQube, FOSSA, Harness, Jira, JSM,

ServiceNow etc.

• Good hands on knowledge of AWS Services like EC2, ECS, S3, IAM, SNS, SQS, VPC, Lambda,

API Gateway, Cloud Watch, Cloud Formation etc.

• Experience in operating and governing DevOps Toolchain

• Experience in operational monitoring, alerting and identifying and delivering on both repair

and technical debt

• Experience and background in ITIL/ITSM processes. The candidate will ensure development

of the appropriate (ITSM) model and processes, based on the ITIL Service Management

framework. This includes the strategic, design, transition, and operation services and

continuous service improvement

• Provide ITSM leadership experience and coaching processes

• Experience on various tools like Jenkins, Harness, Fossa,

• Experience of hosting and managing applications on AWS/AZURE•

• Experience in CI/CD pipeline (Jenkins build pipelines)

• Experience in containerization (Docker/Kubernetes)

• Experience in any programming language (Node.js or Python is preferred)

• Experience in Architecting and supporting cloud based products will be a plus

• Experience in PowerShell & Bash will be a plus

• Able to self manage multiple concurrent small projects, including managing priorities

between projects

• Able to quickly learn new tools

• Should be able to mentor/drive junior team members to achieve desired outcome of

roadmap-

• Ability to analyse information to identify problems and issues, and make effective decisions

within short span

• Excellent problem solving and critical thinking

• Experience in integrating various components including unit testing / CI/CD configuration.

• Experience to review current toolset and plan for upgrade.

• Experience with Agile framework/Jira/JSM tool.• Good communication skills and ability to communicate/work independently with external

teams.

• Highly motivated, able to work proficiently both independently and in a team environment

Good knowledge and experience with security constructs –